Capstone-Project

This project use data visualization, machine learning and NLP to analysis customer behaviour of one online toys store.

Files

Data Clean.ipynb
Order Distribution.ipynb: Visualize the order distribution with time(hours, day, month, year), location. Analyse items performance and find top 10 sold items.
Sales Map.R: Using leaflet create a map indicating the orders frequency vs. locations.
Conversion Rate Analysis.ipynb: Compare Store performance with industry average performance and top 10 store performance. Propose methods to Increase Conversion Rate.
Customer Churn.ipynb: Using logistic regression to predict the probability of customer return rate in a 30 day period.
NLP on OrderNote.ipynb: Apply simple NLP on OrderNote to analyze th return reason, also bulid a wordcloud.
Market Basket Analysis.ipynb: Apply Market basket analysis with Apriori algorithm to uncover associations between items, look for combinations that occur together frequently and then provide information about purchase behavior.

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
images		images
.gitignore		.gitignore
1. Data Clean.ipynb		1. Data Clean.ipynb
2. Order Distribution.ipynb		2. Order Distribution.ipynb
3. Sales Map.R		3. Sales Map.R
4. Conversion Rate Analysis.ipynb		4. Conversion Rate Analysis.ipynb
5. Customer Churn.ipynb		5. Customer Churn.ipynb
6. NLP on OrderNote.ipynb		6. NLP on OrderNote.ipynb
7. Market Basket Analysis.ipynb		7. Market Basket Analysis.ipynb
README.md		README.md